IIR 2022
12th Italian Information Retrieval Workshop 2022

Table of Contents

• Preface
  Summary: After peer review 23 papers were accepted for this volume.

Invited Talks

• Pseudo-Relevance Feedback in the Era of Dense Retrieval
  Nicola Tonellotto
• From Implicit Data to Cognitive Models for Recommender Systems
  Marko Tkalcic

Accepted Papers

• A Modular Approach to Topic Modeling for Heterogeneous Documents
  Giovanni Toto, Emanuele Di Buccio
• Addressing Privacy in Recommender Systems with Federated Learning
  Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
• AI-based Decision Support Systems for the Management of E-rocurement Procedures
  Pasquale Lops, Marco Di Ciano, Nicola Lopane, Lucia Siciliani, Vincenzo Taccardi, Eleonora Ghizzota, Giovanni Semeraro
• An Analysis of Local Explanation with LIME-RS
  Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
• An Analysis of User Click Behaviour in Online Hotel Search
  Emanuele Cavenaghi, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, Markus Zanker
• Assessing the Semantic Difficulty of Queries
  Guglielmo Faggioli, Stefano Marchesin
• Choice Models for Simulating the Consumption of Recommendations
  Naieme Hazrati, Francesco Ricci
• Comparing ANOVA Approaches to Detect Significantly Different IR Systems
  Guglielmo Faggioli, Nicola Ferro
• Evaluating Recommendations in a User Interface With Multiple Carousels
  Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi
• Feature Selection via Quantum Annealers for Ranking and Classification Tasks
  Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi
• Group Dynamic and Group Recommender Systems for Decision Support
  Hanif Emamgholizadeh, Francesco Ricci
• Learning to Rank from Relevance Judgments Distributions
  Alberto Purpura, Gianmaria Silvello, Gian Antonio Susto
• Inverse Reinforcement Learning and Point of Interest Recommendations
  David Massimo, Francesco Ricci
• Recency, Popularity, and Diversity of Explanations in Knowledge-based Recommendation
  Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
• Replication of Collaborative Filtering Generative Adversarial Networks on Recommender Systems
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
• Replication of Recommender Systems with Impressions
  Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi
• Revisiting Retrieval-based Approaches for Conversational Recommender Systems
  Ahtsham Manzoor, Dietmar Jannach
• Sustainability driven Recommender Systems
  Pavel Merinov, David Massimo, Francesco Ricci
• Towards an Information Retrieval Evaluation Library
  Elias Bassani

Extended Abstracts

• A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract)
  Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
• Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract)
  Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
• Interpretable Ranking Using LambdaMART (Abstract)
  Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
• SOUR: an Outliers Detection Algorithm in Learning to Rank (Abstract)
  Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando